Xu, J., Zhu, T., Dai, C., Guo, B., Chen, F., Moussa, S., & Liu, X. (2026). FedGAW: Federated Learning With Insights of Gradient Based Update for Heterogeneous Devices. IEEE Transactions on Vehicular Technology, Vehicular Technology, IEEE Transactions on, IEEE Trans. Veh. Technol., 75(9), 21527-21538. https://doi.org/10.1109/TVT.2026.3692516
Παραπομπή σε μορφή Chicago (17η εκδ.)Xu, J., T. Zhu, C. Dai, B. Guo, F. Chen, S. Moussa, και X. Liu. "FedGAW: Federated Learning With Insights of Gradient Based Update for Heterogeneous Devices." IEEE Transactions on Vehicular Technology, Vehicular Technology, IEEE Transactions on, IEEE Trans. Veh. Technol. 75, no. 9 (2026): 21527-21538. https://doi.org/10.1109/TVT.2026.3692516.
Παραπομπή σε μορφή MLA (9th εκδ.)Xu, J., et al. "FedGAW: Federated Learning With Insights of Gradient Based Update for Heterogeneous Devices." IEEE Transactions on Vehicular Technology, Vehicular Technology, IEEE Transactions on, IEEE Trans. Veh. Technol., vol. 75, no. 9, 2026, pp. 21527-21538, https://doi.org/10.1109/TVT.2026.3692516.